Senior Analytics Engineer – UK (Remote)

Company: Immersive Labs
Apply for the Senior Analytics Engineer – UK (Remote)
Location: Bristol
Job Description:

Overview

As a Senior Analytics Engineer at Immersive, you will shape the data foundation of the Immersive One platform, partnering with engineers and data specialists to deliver robust analytics. You will own data quality, observability, and model optimization while building scalable datasets and semantic layers for BI. You’ll mentor junior engineers and drive cross-functional initiatives in a fast-paced, collaborative environment. This role offers the chance to influence product decisions and customer reporting in a cutting-edge cyber resilience company.

Pay / Benefits

  • Flexible remote working
  • 25 days annual leave + 2 volunteering days + birthday off
  • Up to 30 days leave after five years
  • Enhanced parental leave
  • 7% matched pension
  • Private healthcare plan

Responsibilities

  • Design, build and maintain high quality datasets for engineers to build robust customer facing reporting
  • Collaborate with engineers to assess and mitigate the impact of upstream product changes
  • Apply domain knowledge to develop semantic layers for business intelligence
  • Mentor junior engineers and teach SDLC process and engineering best practices

Key requirements

  • Transforming, testing, and documenting data with robust data lineage
  • Data modelling, data access, and data storage techniques
  • Experience with version control and continuous integration
  • Strong SQL in cloud data warehouses (Snowflake) with performance optimization, partitioning, and window functions
  • Ability to operate autonomously across multiple teams in ambiguity with high-level direction
  • Experience with dbt for data transformation
  • Experience with BI tools such as Power BI or Looker
  • Experience with AWS, Azure or GCP is a plus
  • Curiosity and problem-solving mindset
  • Collaborative and mentoring attitude
  • Strong communication across cross-functional teams
  • Data transformation and data lineage
  • Data modelling and data warehousing
  • Version control and CI/CD practices

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Posted: October 22nd, 2026